WinterGreen Research announces that it has published a new study Services Oriented Architecture (SOA) middleware. The 2013 study has 606 pages, 213 tables and figures. Worldwide markets are poised to achieve significant growth as the SOA systems provide the base for cloud computing and support the use of smartphones for transactions and collaboration. SOA is useful for addressing the need for flexible systems, the need for adaptation to mobile handset presentation of information, and the need for marketing analytics.

SOA supports cloud computing solutions with a platform. IBM is the market leader, setting the defacto industry standard in SOA systems implementation. IBM WebSphere is the defacto SOA standard by virtue of providing a way to interconnect disparate siloed web applications within a large data center. IBM is the leader in SOA. IBM is the leader because it has invested in integration and analytics technology needed to achieve comprehensive IT systems implementation that achieves support for collaborative systems. The implementation of SOA depends on a broad set of technology frameworks that interact seamlessly to achieve the end point integration needed to manage complexity of modern IT systems. IBM stands alone in the IT industry with that capability of managing complexity.

IBM SOA is used to implement cloud systems that stretch the boundaries of the enterprise to user end points, permitting marketing departments to target smartphones, implementing management decentralization and supporting user empowerment. SOA forms the base for business intelligence (BI) and analytics systems. It enables organizational ability to perform diagnostic analytics.

Service Oriented Architecture (SOA) is the foundation for modern transactional systems. As the Internet extends transaction systems to real time, SOA has been invented to extend the transaction systems appropriately. SOA supports the evolution of Internet based real time e-business and end-to-end business process integration. In the next decade, the same SOA principles will be at the core of a new era of business engagements that transact at Internet scale across locations, devices, people, processes and information.

IBM is able to manage scale and security. It has built a set of systems that have been criticized over the years for being too complex and too large, but now that the Internet and real time computing have evolved, IBM stands alone in its ability to scale reliably and securely. IBM SOA is first and foremost tuned to supporting mobile application development, big data, and cloud computing. The SOA enterprise architecture supports mobile development by providing transparent seamless API support for all the different mobile smart phones. Infrastructure tools with business-user-friendly data integration, coupled with embedded storage and computing layers (typically in-memory/columnar) and unfettered drilling — accelerates the trend toward decentralization and user empowerment of BI and analytics, and greatly enables organizations' ability to perform diagnostic analytics.

Cloud and mobile computing redefine SOA, providing ways for companies to implement analytics and mine social media data to create information that is usable for decision making. These initiatives depend on a solid integration foundation, permitting IBM to increase its already large market SOA share because IBM has such comprehensive SOA platforms that hide complexity from users, supports efficient systems implementation.

The key factors which should be in place for a cloud implementation of SOA are virtualization, reusability of services, governance procedures, security control systems and processes and an understanding of pricing of services as they are consumed over cloud.

Cloud computing amplifies SOA's impact. And the converse is also true, i.e., having SOA helps deliver better and a wider variety of services using the cloud environment. A case can easily be made that the ROI from cloud can be better and investment recovery can be much faster if SOA is used in designing the architecture.

The use of APIs for system-to-system communications is exploding with the use of mobile, social and cloud computing. Simple APIs are very popular for B2B integration. For example a cell phone carrier can offer a set of APIs to sell and provision a cell phone so retailers can carry their phones and offer the carriers' phone plans. Through APIs the retailer becomes a channel for the carrier. A use of SOA APIs in retailing is to support multi-channel systems implementation, which means giving the same user experience in store, on mobile devices, and over the web. Traditional retail systems are embracing new technologies to compete with online retailers whose market share is rising dramatically every year.

Companies with strong brand recognition are realizing that they can leverage that brand by providing online shopping experiences that mirror the retail market positioning they have always done. This example is another trend in that IT modernizations have strong business drivers and are being funded even in a slow growth economy.

Easy-to-install software and limited up-front investment is a business requirement driving the move to cloud computing where resource is paid for as needed. SOA has been widely adopted by the 18,500 large enterprise organizations worldwide because it meets the integration criteria needed by lines of business. Significant SOA implementations are expected to be upgraded in the very large enterprise customer base as enterprises work to achieve data center elasticity that provides flexible response to changing market conditions.

There are another 14,800 emerging enterprises, companies with annual revenue between $300 million and $2 billion, expected to continue to build out SOA implementations. SOA provides modules of code that can be reused in different ways as market conditions change.

SOA markets are anticipated to reach $15.1 billion in 2019. This represents significant growth. In 2010, WinterGreen Research had SOA markets at $4.0 billion, by 2012 they had reached $7.1 billion. Growth has been achieved organically because more frameworks are needed to build cloud computing and more infrastructure is needed in the data center to interconnect applications using middleware. Systems that were classified as data center infrastructure are now reclassified as SOA.

SOA growth is driven by the need to provide flexible response to changing market conditions.

WinterGreen Research is an independent research organization funded by the sale of market research studies all over the world and by the implementation of ROI models that are used to calculate the total cost of ownership of equipment, services, and software. The company has 35 distributors worldwide, including Global Information Info Shop, Market Research.com, Research and Markets, Bloomberg, and Thompson Financial.

Report Methodology

This is the 548th report in a series of primary market research reports that provide forecasts in communications, telecommunications, the Internet, computer, software, telephone equipment, health equipment, and energy. Automated process and significant growth potential are a priority in topic selection. The project leaders take direct responsibility for writing and preparing each report. They have significant experience preparing industry studies. They are supported by a team, each person with specific research tasks and proprietary automated process database analytics. Forecasts are based on primary research and proprietary data bases.

The primary research is conducted by talking to customers, distributors and companies. The survey data is not enough to make accurate assessment of market size, so WinterGreen Research looks at the value of shipments and the average price to achieve market assessments. Our track record in achieving accuracy is unsurpassed in the industry. We are known for being able to develop accurate market shares and projections. This is our specialty.

The analyst process is concentrated on getting good market numbers. This process involves looking at the markets from several different perspectives, including vendor shipments. The interview process is an essential aspect as well. We do have a lot of granular analysis of the different shipments by vendor in the study and addenda prepared after the study was published if that is appropriate.

Forecasts reflect analysis of the market trends in the segment and related segments. Unit and dollar shipments are analyzed through consideration of dollar volume of each market participant in the segment. Installed base analysis and unit analysis is based on interviews and an information search. Market share analysis includes conversations with key customers of products, industry segment leaders, marketing directors, distributors, leading market participants, opinion leaders, and companies seeking to develop measurable market share.

Over 200 in depth interviews are conducted for each report with a broad range of key participants and industry leaders in the market segment. We establish accurate market forecasts based on economic and market conditions as a base. Use input/output ratios, flow charts, and other economic methods to quantify data. Use in-house analysts who meet stringent quality standards.

Interviewing key industry participants, experts and end-users is a central part of the study. Our research includes access to large proprietary databases. Literature search includes analysis of trade publications, government reports, and corporate literature.

Findings and conclusions of this report are based on information gathered from industry sources, including manufacturers, distributors, partners, opinion leaders, and users. Interview data was combined with information gathered through an extensive review of internet and printed sources such as trade publications, trade associations, company literature, and online databases. The projections contained in this report are checked from top down and bottom up analysis to be sure there is congruence from that perspective.

The base year for analysis and projection is 2011. With 2011 and several years prior to that as a baseline, market projections were developed for 2012 through 2018. These projections are based on a combination of a consensus among the opinion leader contacts interviewed combined with understanding of the key market drivers and their impact from a historical and analytical perspective.

The analytical methodologies used to generate the market estimates are based on penetration analyses, similar market analyses, and delta calculations to supplement independent and dependent variable analysis. All analyses are displaying selected descriptions of products and services.

This research includes referencde to an ROI model that is part of a series that provides IT systems financial planners access to information that supports analysis of all the numbers that impact management of a product launch or large and complex data center. The methodology used in the models relates to having a sophisticated analytical technique for understanding the impact of workload on processor consumption and cost.

WinterGreen Research has looked at the metrics and independent research to develop assumptions that reflect the actual anticipated usage and cost of systems. Comparative analyses reflect the input of these values into models.

The variables and assumptions provided in the market research study and the ROI models are based on extensive experience in providing research to large enterprise organizations and data centers. The ROI models have lists of servers from different manufacturers, Systems z models from IBM, and labor costs by category around the world.

This information has been developed from WinterGreen research proprietary data bases constructed as a result of preparing market research studies that address the software, energy, healthcare, telecommunicatons, and hardware businesses.

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